Top Healthtech Data & Analytics Jobs

Conducts healthcare market research and analyzes brand, marketplace, demographic, volume, market share, payer mix, patient transfer, marketing, contact center, web, and financial data. Develops reporting, data extracts, and actionable insights for Houston Methodist leadership and marketing teams. Monitors database integrity, evaluates marketing performance, supports segmented mailings, researches healthcare market trends and competition, and presents findings to internal stakeholders.

Leads analytics, data architecture, outcomes measurement, health economics and outcomes research, ROI modeling, governance, and client reporting. Manages a multidisciplinary data team and partners with Engineering, Product, executives, and payer stakeholders to translate clinical and financial evidence into actionable decisions. Oversees accurate, repeatable analyses and communicates findings through dashboards, white papers, presentations, and impact briefs.

Supports master data creation, maintenance, audits, governance, cleansing, deduplication, and quality tracking across JD Edwards, PIM, and Wrike. Partners with Supply Chain, Finance, Marketing, and Creative teams to resolve discrepancies, support SKU setup, document processes, and assist with integrations, migrations, automation, and AI-enabled data-quality initiatives. The intern also tracks cross-functional requests and project timelines.

Leads philanthropy data strategy, reporting, CRM administration, and technology operations. Oversees data governance, system integrity, dashboards, forecasting, campaign reporting, integrations, vendor relationships, automation, and continuous improvement. Partners with philanthropy leadership to improve fundraising performance and operational efficiency, while ensuring data quality, security, compliance, and documentation. Supervises and develops staff and serves as the subject matter expert for philanthropy data and technology.

Own NimbleRx’s data platform end to end, including ingestion, transformation, storage, querying, access, batch and streaming pipelines, warehouse modeling, security, compliance, and reliability. Optimize PostgreSQL and Java/Spring data-layer performance, investigate infrastructure issues, develop AI-enabled tooling, partner across teams, and mentor engineers and analysts.

Build and maintain databases, data warehouses, and ETL/ELT pipelines for client data solutions. Consult with clients to translate technical needs into data architectures, ensure data quality and governance, optimize system performance, and support secure, compliant data integration. Collaborate with data integration engineers, business analysts, software engineers, and technical and non-technical stakeholders in a client-facing role.

Owns data integrity, quality assurance, remediation, standards, and governance for Development data. Leads audits, maintains data definitions and business rules, assigns corrective actions, facilitates governance decisions, and partners with analytics, CRM, fundraising, finance, IT, compliance, and legal teams. Develops training, monitors stewardship accountability, resolves data-quality issues, and ensures reliable reporting and downstream business processes.

Design and build PerfectServe’s unified cloud data platform, including ingestion pipelines, integrations, data models, metrics, and consumer-facing data layers. Establish architecture, engineering, quality, and testing standards; enable safe extraction from production systems; partner with data users; and mentor data engineers. The role requires substantial cloud data platform experience, deep SQL, warehouse expertise, ELT, change-data-capture, AWS, modeling, orchestration, and data quality skills.

Build and operate production data pipelines that ingest, transform, validate, and deliver messy clinical data for machine learning, analytics, and clinician-facing APIs. Own data contracts, monitoring, backfills, failure recovery, and troubleshooting across systems. Collaborate with integration, ML, and product engineering teams to ensure reliable data delivery across hospital deployments.

Designs and maintains scalable data architecture, warehouses, ETL/ELT pipelines, and data platforms. Responsibilities include ensuring data quality, integrity, governance, accessibility, reliability, and performance; supporting customer onboarding and analytics tools; contributing to architecture and engineering best practices; troubleshooting complex data issues; and participating in on-call rotations. The role collaborates with engineering, product, solutions, business intelligence, and other cross-functional teams in healthcare and social care data environments.